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zyazxr/MLPMnistTwoLayerTest

Created January 16, 2020 10:52
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MLPMnistTwoLayerTest
"C:\Program Files\Java\jdk1.8.0_221\bin\java.exe" "-javaagent:C:\Program Files\JetBrains\IntelliJ IDEA 2019.2.3\lib\idea_rt.jar=63540:C:\Program Files\JetBrains\IntelliJ IDEA 2019.2.3\bin" -Dfile.encoding=UTF-8 -classpath C:\Users\zhaoy\AppData\Local\Temp\classpath357205204.jar org.deeplearning4j.examples.convolution.AnimalsClassification
o.d.e.c.AnimalsClassification - Load data....
o.n.l.f.Nd4jBackend - Loaded [CpuBackend] backend
o.n.n.NativeOpsHolder - Number of threads used for NativeOps: 2
o.n.n.Nd4jBlas - Number of threads used for BLAS: 2
o.n.l.a.o.e.DefaultOpExecutioner - Backend used: [CPU]; OS: [Windows 10]
o.n.l.a.o.e.DefaultOpExecutioner - Cores: [4]; Memory: [3.5GB];
o.n.l.a.o.e.DefaultOpExecutioner - Blas vendor: [MKL]
o.d.e.c.AnimalsClassification - Build model....
o.d.n.m.MultiLayerNetwork - Starting MultiLayerNetwork with WorkspaceModes set to [training: ENABLED; inference: ENABLED], cacheMode set to [NONE]
o.d.u.p.PlayUIServer - DL4J UI Server started at http://localhost:9000
o.d.u.p.PlayUIServer - StatsStorage instance attached to UI: FileStatsStorage(C:\Users\zhaoy\AppData\Local\Temp\ui-stats.dl4j)
o.d.e.c.AnimalsClassification - Train model....
o.d.i.r.BaseImageRecordReader - ImageRecordReader: 4 label classes inferred using label generator ParentPathLabelGenerator
o.d.i.r.BaseImageRecordReader - ImageRecordReader: 4 label classes inferred using label generator ParentPathLabelGenerator
o.d.o.l.ScoreIterationListener - Score at iteration 0 is 3.9845080353123565
o.d.o.l.ScoreIterationListener - Score at iteration 1 is 4.27462652543519
o.d.o.l.ScoreIterationListener - Score at iteration 2 is 3.930298544006427
o.d.o.l.EvaluativeListener - Starting evaluation nr. 1
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.1429
Precision: 0.1556 (2 classes excluded from average)
Recall: 0.1458
F1 Score: 0.1944 (2 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 2 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [2, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
1 2 0 0 | 0 = 0
3 1 0 0 | 1 = 1
2 1 0 0 | 2 = 2
3 1 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 3 is 3.8877002952340867
o.d.o.l.ScoreIterationListener - Score at iteration 4 is 3.8639375938854696
o.d.o.l.ScoreIterationListener - Score at iteration 5 is 3.823659199815495
o.d.o.l.EvaluativeListener - Starting evaluation nr. 2
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2143
Precision: 0.2143 (3 classes excluded from average)
Recall: 0.2500
F1 Score: 0.3529 (3 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 3 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [1, 2, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
3 0 0 0 | 0 = 0
4 0 0 0 | 1 = 1
3 0 0 0 | 2 = 2
4 0 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 6 is 3.814619877321339
o.d.o.l.ScoreIterationListener - Score at iteration 7 is 3.8863099777378127
o.d.o.l.ScoreIterationListener - Score at iteration 8 is 3.7512211487473746
o.d.o.l.EvaluativeListener - Starting evaluation nr. 3
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.3750 (2 classes excluded from average)
Recall: 0.3333
F1 Score: 0.4000 (2 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 2 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [1, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
3 0 0 0 | 0 = 0
3 0 1 0 | 1 = 1
2 0 1 0 | 2 = 2
4 0 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 9 is 3.776504333668429
o.d.o.l.ScoreIterationListener - Score at iteration 10 is 3.7146018478483716
o.d.o.l.ScoreIterationListener - Score at iteration 11 is 3.6789988175810855
o.d.o.l.EvaluativeListener - Starting evaluation nr. 4
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.3667 (2 classes excluded from average)
Recall: 0.4167
F1 Score: 0.5000 (2 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 2 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [1, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
3 0 0 0 | 0 = 0
3 0 1 0 | 1 = 1
1 0 2 0 | 2 = 2
2 0 2 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 12 is 3.6676422714479546
o.d.o.l.ScoreIterationListener - Score at iteration 13 is 3.630950393082153
o.d.o.l.ScoreIterationListener - Score at iteration 14 is 3.5935174247618646
o.d.o.l.EvaluativeListener - Starting evaluation nr. 5
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2143
Precision: 0.2143 (3 classes excluded from average)
Recall: 0.2500
F1 Score: 0.3529 (3 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 3 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [0, 1, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 0 3 0 | 0 = 0
0 0 4 0 | 1 = 1
0 0 3 0 | 2 = 2
0 0 4 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 15 is 3.577761420881657
o.d.o.l.ScoreIterationListener - Score at iteration 16 is 3.5313001226919662
o.d.o.l.ScoreIterationListener - Score at iteration 17 is 3.588591404996495
o.d.o.l.EvaluativeListener - Starting evaluation nr. 6
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2143
Precision: 0.2143 (3 classes excluded from average)
Recall: 0.2500
F1 Score: 0.3529 (3 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 3 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [0, 1, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 0 3 0 | 0 = 0
0 0 4 0 | 1 = 1
0 0 3 0 | 2 = 2
0 0 4 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 18 is 3.5838147176381074
o.d.o.l.ScoreIterationListener - Score at iteration 19 is 3.5188298651436547
o.d.o.l.ScoreIterationListener - Score at iteration 20 is 3.4693902020609517
o.d.o.l.EvaluativeListener - Starting evaluation nr. 7
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.3542 (2 classes excluded from average)
Recall: 0.4167
F1 Score: 0.4949 (2 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 2 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [1, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
3 0 0 0 | 0 = 0
1 0 3 0 | 1 = 1
1 0 2 0 | 2 = 2
3 0 1 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 21 is 3.475380371401161
o.d.o.l.ScoreIterationListener - Score at iteration 22 is 3.46153801111788
o.d.o.l.ScoreIterationListener - Score at iteration 23 is 3.457545166244066
o.d.o.l.EvaluativeListener - Starting evaluation nr. 8
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2143
Precision: 0.2143 (3 classes excluded from average)
Recall: 0.2500
F1 Score: 0.3529 (3 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 3 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [0, 1, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 0 3 0 | 0 = 0
0 0 4 0 | 1 = 1
0 0 3 0 | 2 = 2
0 0 4 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 24 is 3.3945745337302573
o.d.o.l.ScoreIterationListener - Score at iteration 25 is 3.3652661754279123
o.d.o.l.ScoreIterationListener - Score at iteration 26 is 3.3336456305475126
o.d.o.l.EvaluativeListener - Starting evaluation nr. 9
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.3111 (2 classes excluded from average)
Recall: 0.3333
F1 Score: 0.4167 (2 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 2 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [1, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 0 1 0 | 0 = 0
1 0 3 0 | 1 = 1
1 0 2 0 | 2 = 2
1 0 3 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 27 is 3.2693405010113428
o.d.o.l.ScoreIterationListener - Score at iteration 28 is 3.219103955123874
o.d.o.l.ScoreIterationListener - Score at iteration 29 is 3.6178946976409843
o.d.o.l.EvaluativeListener - Starting evaluation nr. 10
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2143
Precision: 0.2143 (3 classes excluded from average)
Recall: 0.2500
F1 Score: 0.3529 (3 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 3 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [0, 1, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 0 3 0 | 0 = 0
0 0 4 0 | 1 = 1
0 0 3 0 | 2 = 2
0 0 4 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 30 is 3.4283091921509263
o.d.o.l.ScoreIterationListener - Score at iteration 31 is 3.299262134216254
o.d.o.l.ScoreIterationListener - Score at iteration 32 is 3.23575352453436
o.d.o.l.EvaluativeListener - Starting evaluation nr. 11
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2143
Precision: 0.2143 (3 classes excluded from average)
Recall: 0.2500
F1 Score: 0.3529 (3 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 3 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [0, 1, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 0 3 0 | 0 = 0
0 0 4 0 | 1 = 1
0 0 3 0 | 2 = 2
0 0 4 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 33 is 3.2179173114072595
o.d.o.l.ScoreIterationListener - Score at iteration 34 is 3.232381478415787
o.d.o.l.ScoreIterationListener - Score at iteration 35 is 3.147577749397296
o.d.o.l.EvaluativeListener - Starting evaluation nr. 12
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2143
Precision: 0.2143 (3 classes excluded from average)
Recall: 0.2500
F1 Score: 0.3529 (3 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 3 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [0, 1, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 0 3 0 | 0 = 0
0 0 4 0 | 1 = 1
0 0 3 0 | 2 = 2
0 0 4 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 36 is 3.0814345286403557
o.d.o.l.ScoreIterationListener - Score at iteration 37 is 3.0707726864703426
o.d.o.l.ScoreIterationListener - Score at iteration 38 is 3.1031605877437682
o.d.o.l.EvaluativeListener - Starting evaluation nr. 13
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2143
Precision: 0.2143 (3 classes excluded from average)
Recall: 0.2500
F1 Score: 0.3529 (3 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 3 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [1, 2, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
3 0 0 0 | 0 = 0
4 0 0 0 | 1 = 1
3 0 0 0 | 2 = 2
4 0 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 39 is 3.5975699043668294
o.d.o.l.ScoreIterationListener - Score at iteration 40 is 3.1430424909108474
o.d.o.l.ScoreIterationListener - Score at iteration 41 is 3.112903987348
o.d.o.l.EvaluativeListener - Starting evaluation nr. 14
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.2857 (3 classes excluded from average)
Recall: 0.2500
F1 Score: 0.4444 (3 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 3 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [0, 2, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 3 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 3 0 0 | 2 = 2
0 4 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 42 is 3.0514564946767546
o.d.o.l.ScoreIterationListener - Score at iteration 43 is 2.9724741809220507
o.d.o.l.ScoreIterationListener - Score at iteration 44 is 2.8578566021542846
o.d.o.l.EvaluativeListener - Starting evaluation nr. 15
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.6154 (2 classes excluded from average)
Recall: 0.3333
F1 Score: 0.4375 (2 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 2 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [1, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
1 0 2 0 | 0 = 0
0 0 4 0 | 1 = 1
0 0 3 0 | 2 = 2
0 0 4 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 45 is 2.887952456884423
o.d.o.l.ScoreIterationListener - Score at iteration 46 is 2.964490584614171
o.d.o.l.ScoreIterationListener - Score at iteration 47 is 2.8154743896802703
o.d.o.l.EvaluativeListener - Starting evaluation nr. 16
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.4697 (2 classes excluded from average)
Recall: 0.4167
F1 Score: 0.5476 (2 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 2 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [1, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
3 0 0 0 | 0 = 0
3 0 1 0 | 1 = 1
1 0 2 0 | 2 = 2
4 0 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 48 is 2.7229356635989843
o.d.o.l.ScoreIterationListener - Score at iteration 49 is 3.3801461833901754
o.d.o.l.ScoreIterationListener - Score at iteration 50 is 2.992308571084974
o.d.o.l.EvaluativeListener - Starting evaluation nr. 17
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.5750 (2 classes excluded from average)
Recall: 0.4375
F1 Score: 0.6607 (2 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 2 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [0, 2]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 0 0 3 | 0 = 0
0 3 0 1 | 1 = 1
0 1 0 2 | 2 = 2
0 0 0 4 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 51 is 2.9559820175613876
o.d.o.l.ScoreIterationListener - Score at iteration 52 is 2.8513268412626926
o.d.o.l.ScoreIterationListener - Score at iteration 53 is 2.704228856038369
o.d.o.l.EvaluativeListener - Starting evaluation nr. 18
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.3750 (2 classes excluded from average)
Recall: 0.4167
F1 Score: 0.5152 (2 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 2 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [1, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
3 0 0 0 | 0 = 0
0 0 4 0 | 1 = 1
1 0 2 0 | 2 = 2
2 0 2 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 54 is 2.6278771221595267
o.d.o.l.ScoreIterationListener - Score at iteration 55 is 2.5366676898265275
o.d.o.l.ScoreIterationListener - Score at iteration 56 is 2.679432732924134
o.d.o.l.EvaluativeListener - Starting evaluation nr. 19
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5714
Precision: 0.5833 (2 classes excluded from average)
Recall: 0.5000
F1 Score: 0.7333 (2 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 2 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [0, 2]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 4 0 0 | 1 = 1
0 1 0 2 | 2 = 2
0 0 0 4 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 57 is 2.7445131006823464
o.d.o.l.ScoreIterationListener - Score at iteration 58 is 2.4258587055518666
o.d.o.l.ScoreIterationListener - Score at iteration 59 is 2.3115397481560436
o.d.o.l.EvaluativeListener - Starting evaluation nr. 20
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2143
Precision: 0.2143 (3 classes excluded from average)
Recall: 0.2500
F1 Score: 0.3529 (3 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 3 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [0, 1, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 0 3 0 | 0 = 0
0 0 4 0 | 1 = 1
0 0 3 0 | 2 = 2
0 0 4 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 60 is 3.032183660731115
o.d.o.l.ScoreIterationListener - Score at iteration 61 is 3.339494489385423
o.d.o.l.ScoreIterationListener - Score at iteration 62 is 2.8386581061144733
o.d.o.l.EvaluativeListener - Starting evaluation nr. 21
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.1538 (2 classes excluded from average)
Recall: 0.2500
F1 Score: 0.2353 (2 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 2 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [0, 2]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 3 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 2 0 1 | 2 = 2
0 4 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 63 is 2.7958360265125943
o.d.o.l.ScoreIterationListener - Score at iteration 64 is 2.709053422428788
o.d.o.l.ScoreIterationListener - Score at iteration 65 is 2.6275819550235813
o.d.o.l.EvaluativeListener - Starting evaluation nr. 22
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4429 (1 class excluded from average)
Recall: 0.4167
F1 Score: 0.4596 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 3 0 0 | 1 = 1
0 2 0 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 66 is 2.5398053673774554
o.d.o.l.ScoreIterationListener - Score at iteration 67 is 2.3934769818219155
o.d.o.l.ScoreIterationListener - Score at iteration 68 is 2.326181928885133
o.d.o.l.EvaluativeListener - Starting evaluation nr. 23
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.5873 (1 class excluded from average)
Recall: 0.4375
F1 Score: 0.4966 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 3 0 0 | 1 = 1
0 2 1 0 | 2 = 2
3 1 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 69 is 2.6408768548271064
o.d.o.l.ScoreIterationListener - Score at iteration 70 is 2.24240607496428
o.d.o.l.ScoreIterationListener - Score at iteration 71 is 2.406912444444353
o.d.o.l.EvaluativeListener - Starting evaluation nr. 24
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2143
Precision: 0.2143 (3 classes excluded from average)
Recall: 0.2500
F1 Score: 0.3529 (3 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 3 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [0, 1, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 0 3 0 | 0 = 0
0 0 4 0 | 1 = 1
0 0 3 0 | 2 = 2
0 0 4 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 72 is 4.817602205638639
o.d.o.l.ScoreIterationListener - Score at iteration 73 is 2.657692621711954
o.d.o.l.ScoreIterationListener - Score at iteration 74 is 2.4360794276666518
o.d.o.l.EvaluativeListener - Starting evaluation nr. 25
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.1333 (1 class excluded from average)
Recall: 0.2500
F1 Score: 0.1905 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 2 0 1 | 0 = 0
0 4 0 0 | 1 = 1
0 2 0 1 | 2 = 2
2 2 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 75 is 2.3249703381954347
o.d.o.l.ScoreIterationListener - Score at iteration 76 is 2.1672534437061537
o.d.o.l.ScoreIterationListener - Score at iteration 77 is 2.2051446276493882
o.d.o.l.EvaluativeListener - Starting evaluation nr. 26
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.6556 (1 class excluded from average)
Recall: 0.4792
F1 Score: 0.5094 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
3 0 0 0 | 0 = 0
2 1 1 0 | 1 = 1
1 0 2 0 | 2 = 2
4 0 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 78 is 2.2514315892079098
o.d.o.l.ScoreIterationListener - Score at iteration 79 is 2.1413162674125923
o.d.o.l.ScoreIterationListener - Score at iteration 80 is 1.9014603638438827
o.d.o.l.EvaluativeListener - Starting evaluation nr. 27
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2143
Precision: 0.2250
Recall: 0.2292
F1 Score: 0.2083
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 1 1 | 0 = 0
1 1 1 1 | 1 = 1
1 0 2 0 | 2 = 2
3 0 1 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 81 is 1.7798392044954074
o.d.o.l.ScoreIterationListener - Score at iteration 82 is 1.8120428774630262
o.d.o.l.ScoreIterationListener - Score at iteration 83 is 3.5015637639579715
o.d.o.l.EvaluativeListener - Starting evaluation nr. 28
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.5778 (1 class excluded from average)
Recall: 0.4167
F1 Score: 0.4683 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
1 2 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 2 1 0 | 2 = 2
2 2 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 84 is 2.2826363558645135
o.d.o.l.ScoreIterationListener - Score at iteration 85 is 2.135003191398765
o.d.o.l.ScoreIterationListener - Score at iteration 86 is 1.9090726666315514
o.d.o.l.EvaluativeListener - Starting evaluation nr. 29
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2143
Precision: 0.1833
Recall: 0.2292
F1 Score: 0.1964
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 1 1 | 0 = 0
1 1 1 1 | 1 = 1
1 0 2 0 | 2 = 2
2 1 1 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 87 is 1.6958905635100223
o.d.o.l.ScoreIterationListener - Score at iteration 88 is 1.731110188643147
o.d.o.l.ScoreIterationListener - Score at iteration 89 is 1.8766506014781508
o.d.o.l.EvaluativeListener - Starting evaluation nr. 30
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.2500
Recall: 0.3542
F1 Score: 0.2929
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 1 1 | 0 = 0
0 3 0 1 | 1 = 1
0 1 2 0 | 2 = 2
2 1 1 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 90 is 1.653923205204298
o.d.o.l.ScoreIterationListener - Score at iteration 91 is 1.709769700347695
o.d.o.l.ScoreIterationListener - Score at iteration 92 is 1.5284241705218062
o.d.o.l.EvaluativeListener - Starting evaluation nr. 31
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.4417
Recall: 0.3333
F1 Score: 0.3417
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 3 0 1 | 1 = 1
0 0 1 2 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 93 is 1.528160915750746
o.d.o.l.ScoreIterationListener - Score at iteration 94 is 1.4504696697007395
o.d.o.l.ScoreIterationListener - Score at iteration 95 is 1.3440924564728474
o.d.o.l.EvaluativeListener - Starting evaluation nr. 32
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.4875
Recall: 0.3542
F1 Score: 0.3750
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 96 is 1.3614783779256094
o.d.o.l.ScoreIterationListener - Score at iteration 97 is 1.343810723106761
o.d.o.l.ScoreIterationListener - Score at iteration 98 is 1.2795951860703907
o.d.o.l.EvaluativeListener - Starting evaluation nr. 33
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4167
Recall: 0.2708
F1 Score: 0.3000
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
0 0 1 2 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 99 is 1.278324926575531
o.d.o.l.ScoreIterationListener - Score at iteration 100 is 1.2388481105291078
o.d.o.l.ScoreIterationListener - Score at iteration 101 is 1.2259800290742295
o.d.o.l.EvaluativeListener - Starting evaluation nr. 34
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 102 is 1.2221949512896715
o.d.o.l.ScoreIterationListener - Score at iteration 103 is 1.1913236812801942
o.d.o.l.ScoreIterationListener - Score at iteration 104 is 1.1731588873010894
o.d.o.l.EvaluativeListener - Starting evaluation nr. 35
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4000
Recall: 0.2708
F1 Score: 0.2917
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
0 1 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 105 is 1.1804118366407645
o.d.o.l.ScoreIterationListener - Score at iteration 106 is 1.1459804549802326
o.d.o.l.ScoreIterationListener - Score at iteration 107 is 1.129762561932638
o.d.o.l.EvaluativeListener - Starting evaluation nr. 36
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4583
Recall: 0.2708
F1 Score: 0.3179
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
0 0 1 2 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 108 is 1.1706472851011376
o.d.o.l.ScoreIterationListener - Score at iteration 109 is 1.1749831443001577
o.d.o.l.ScoreIterationListener - Score at iteration 110 is 1.3873775958532362
o.d.o.l.EvaluativeListener - Starting evaluation nr. 37
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.2879 (1 class excluded from average)
Recall: 0.3125
F1 Score: 0.2889 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 3 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 2 0 1 | 2 = 2
1 2 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 111 is 1.463568178283134
o.d.o.l.ScoreIterationListener - Score at iteration 112 is 1.1684039721236907
o.d.o.l.ScoreIterationListener - Score at iteration 113 is 1.1174207783420609
o.d.o.l.EvaluativeListener - Starting evaluation nr. 38
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.5857
Recall: 0.2917
F1 Score: 0.3306
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 0 0 2 | 0 = 0
2 1 0 1 | 1 = 1
1 0 1 1 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 114 is 1.140985669723898
o.d.o.l.ScoreIterationListener - Score at iteration 115 is 1.0722464933862714
o.d.o.l.ScoreIterationListener - Score at iteration 116 is 1.0606603012718683
o.d.o.l.EvaluativeListener - Starting evaluation nr. 39
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 117 is 1.079164116770854
o.d.o.l.ScoreIterationListener - Score at iteration 118 is 1.0367886049157329
o.d.o.l.ScoreIterationListener - Score at iteration 119 is 1.0282553163108734
o.d.o.l.EvaluativeListener - Starting evaluation nr. 40
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 120 is 1.0428015278712897
o.d.o.l.ScoreIterationListener - Score at iteration 121 is 1.0100979776516865
o.d.o.l.ScoreIterationListener - Score at iteration 122 is 1.0027322688148044
o.d.o.l.EvaluativeListener - Starting evaluation nr. 41
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 123 is 1.0114380644284429
o.d.o.l.ScoreIterationListener - Score at iteration 124 is 0.9849388242291776
o.d.o.l.ScoreIterationListener - Score at iteration 125 is 0.9771074789572425
o.d.o.l.EvaluativeListener - Starting evaluation nr. 42
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 126 is 0.9824176663990762
o.d.o.l.ScoreIterationListener - Score at iteration 127 is 0.9605324259728355
o.d.o.l.ScoreIterationListener - Score at iteration 128 is 0.9525617217950126
o.d.o.l.EvaluativeListener - Starting evaluation nr. 43
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 129 is 0.9557922342181794
o.d.o.l.ScoreIterationListener - Score at iteration 130 is 0.9367613385150653
o.d.o.l.ScoreIterationListener - Score at iteration 131 is 0.9287531552371817
o.d.o.l.EvaluativeListener - Starting evaluation nr. 44
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 132 is 0.9300893810673337
o.d.o.l.ScoreIterationListener - Score at iteration 133 is 0.913553308192266
o.d.o.l.ScoreIterationListener - Score at iteration 134 is 0.9054871528387245
o.d.o.l.EvaluativeListener - Starting evaluation nr. 45
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 135 is 0.9056944152784616
o.d.o.l.ScoreIterationListener - Score at iteration 136 is 0.8908944800040514
o.d.o.l.ScoreIterationListener - Score at iteration 137 is 0.8828873582310495
o.d.o.l.EvaluativeListener - Starting evaluation nr. 46
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 138 is 0.8820738539433822
o.d.o.l.ScoreIterationListener - Score at iteration 139 is 0.8687386450005741
o.d.o.l.ScoreIterationListener - Score at iteration 140 is 0.8607896237490887
o.d.o.l.EvaluativeListener - Starting evaluation nr. 47
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 141 is 0.8593258690977132
o.d.o.l.ScoreIterationListener - Score at iteration 142 is 0.8470883502459177
o.d.o.l.ScoreIterationListener - Score at iteration 143 is 0.8392483689854181
o.d.o.l.EvaluativeListener - Starting evaluation nr. 48
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 144 is 0.8372689401985036
o.d.o.l.ScoreIterationListener - Score at iteration 145 is 0.8259484971170425
o.d.o.l.ScoreIterationListener - Score at iteration 146 is 0.8182248820311403
o.d.o.l.EvaluativeListener - Starting evaluation nr. 49
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 147 is 0.8159618359247653
o.d.o.l.ScoreIterationListener - Score at iteration 148 is 0.8053282563385081
o.d.o.l.ScoreIterationListener - Score at iteration 149 is 0.7977054001671736
o.d.o.l.EvaluativeListener - Starting evaluation nr. 50
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 150 is 0.7952283787362969
o.d.o.l.ScoreIterationListener - Score at iteration 151 is 0.7851735860329229
o.d.o.l.ScoreIterationListener - Score at iteration 152 is 0.777652521674515
o.d.o.l.EvaluativeListener - Starting evaluation nr. 51
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 153 is 0.7750905192366253
o.d.o.l.ScoreIterationListener - Score at iteration 154 is 0.765524156688729
o.d.o.l.ScoreIterationListener - Score at iteration 155 is 0.7581195320179818
o.d.o.l.EvaluativeListener - Starting evaluation nr. 52
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 156 is 0.7554593133746723
o.d.o.l.ScoreIterationListener - Score at iteration 157 is 0.7463254374606857
o.d.o.l.ScoreIterationListener - Score at iteration 158 is 0.7390425301734448
o.d.o.l.EvaluativeListener - Starting evaluation nr. 53
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 159 is 0.7363709643619328
o.d.o.l.ScoreIterationListener - Score at iteration 160 is 0.7276084483396847
o.d.o.l.ScoreIterationListener - Score at iteration 161 is 0.7204377405221355
o.d.o.l.EvaluativeListener - Starting evaluation nr. 54
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 162 is 0.717722650769269
o.d.o.l.ScoreIterationListener - Score at iteration 163 is 0.7093272071261499
o.d.o.l.ScoreIterationListener - Score at iteration 164 is 0.7022711950961593
o.d.o.l.EvaluativeListener - Starting evaluation nr. 55
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 165 is 0.6996279878552313
o.d.o.l.ScoreIterationListener - Score at iteration 166 is 0.6914945743236892
o.d.o.l.ScoreIterationListener - Score at iteration 167 is 0.6845517360118225
o.d.o.l.EvaluativeListener - Starting evaluation nr. 56
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 168 is 0.6818897397301358
o.d.o.l.ScoreIterationListener - Score at iteration 169 is 0.6740857435920835
o.d.o.l.ScoreIterationListener - Score at iteration 170 is 0.667311556494603
o.d.o.l.EvaluativeListener - Starting evaluation nr. 57
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 171 is 0.6647107830030871
o.d.o.l.ScoreIterationListener - Score at iteration 172 is 0.6571131137079773
o.d.o.l.ScoreIterationListener - Score at iteration 173 is 0.6504468535068831
o.d.o.l.EvaluativeListener - Starting evaluation nr. 58
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 174 is 0.6479016211580962
o.d.o.l.ScoreIterationListener - Score at iteration 175 is 0.640551344363587
o.d.o.l.ScoreIterationListener - Score at iteration 176 is 0.6340282657228488
o.d.o.l.EvaluativeListener - Starting evaluation nr. 59
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 177 is 0.6315561112893165
o.d.o.l.ScoreIterationListener - Score at iteration 178 is 0.6244140665515386
o.d.o.l.ScoreIterationListener - Score at iteration 179 is 0.6179977804142303
o.d.o.l.EvaluativeListener - Starting evaluation nr. 60
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 180 is 0.6156100045471904
o.d.o.l.ScoreIterationListener - Score at iteration 181 is 0.608662967915236
o.d.o.l.ScoreIterationListener - Score at iteration 182 is 0.6024131165298163
o.d.o.l.EvaluativeListener - Starting evaluation nr. 61
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 183 is 0.6000871641835223
o.d.o.l.ScoreIterationListener - Score at iteration 184 is 0.5933330219867733
o.d.o.l.ScoreIterationListener - Score at iteration 185 is 0.5871688314966498
o.d.o.l.EvaluativeListener - Starting evaluation nr. 62
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 186 is 0.5849156593029654
o.d.o.l.ScoreIterationListener - Score at iteration 187 is 0.578389426375788
o.d.o.l.ScoreIterationListener - Score at iteration 188 is 0.5723713293045963
o.d.o.l.EvaluativeListener - Starting evaluation nr. 63
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 189 is 0.5701801020755598
o.d.o.l.ScoreIterationListener - Score at iteration 190 is 0.5638016332839313
o.d.o.l.ScoreIterationListener - Score at iteration 191 is 0.557887622207131
o.d.o.l.EvaluativeListener - Starting evaluation nr. 64
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 192 is 0.555675740509363
o.d.o.l.ScoreIterationListener - Score at iteration 193 is 0.5495630583906091
o.d.o.l.ScoreIterationListener - Score at iteration 194 is 0.5439325698217841
o.d.o.l.EvaluativeListener - Starting evaluation nr. 65
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.4375
Recall: 0.3542
F1 Score: 0.3875
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 2 0 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 195 is 0.5418579264331153
o.d.o.l.ScoreIterationListener - Score at iteration 196 is 0.5358002275453494
o.d.o.l.ScoreIterationListener - Score at iteration 197 is 0.5299733971450818
o.d.o.l.EvaluativeListener - Starting evaluation nr. 66
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4000
Recall: 0.2708
F1 Score: 0.2917
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
0 1 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 198 is 0.527864475480874
o.d.o.l.ScoreIterationListener - Score at iteration 199 is 0.5222452153373753
o.d.o.l.ScoreIterationListener - Score at iteration 200 is 0.5174638048672512
o.d.o.l.EvaluativeListener - Starting evaluation nr. 67
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.4792
Recall: 0.3542
F1 Score: 0.4054
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 2 0 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 201 is 0.5162595886652822
o.d.o.l.ScoreIterationListener - Score at iteration 202 is 0.5117707621729687
o.d.o.l.ScoreIterationListener - Score at iteration 203 is 0.510716668279253
o.d.o.l.EvaluativeListener - Starting evaluation nr. 68
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.6889 (1 class excluded from average)
Recall: 0.4583
F1 Score: 0.5476 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [0]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 2 0 2 | 1 = 1
0 0 1 2 | 2 = 2
0 0 0 4 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 204 is 0.5719335977320362
o.d.o.l.ScoreIterationListener - Score at iteration 205 is 4.0119153035462505
o.d.o.l.ScoreIterationListener - Score at iteration 206 is 1.3216793465334828
o.d.o.l.EvaluativeListener - Starting evaluation nr. 69
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.6429 (1 class excluded from average)
Recall: 0.4583
F1 Score: 0.5485 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [0]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 3 0 1 | 1 = 1
0 2 1 0 | 2 = 2
0 1 0 3 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 207 is 0.9516144591807758
o.d.o.l.ScoreIterationListener - Score at iteration 208 is 1.155556206886978
o.d.o.l.ScoreIterationListener - Score at iteration 209 is 0.8463139547177405
o.d.o.l.EvaluativeListener - Starting evaluation nr. 70
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.4167
Recall: 0.4792
F1 Score: 0.4444
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 3 0 1 | 1 = 1
0 1 2 0 | 2 = 2
1 0 1 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 210 is 0.6529850765888924
o.d.o.l.ScoreIterationListener - Score at iteration 211 is 0.6409255686977036
o.d.o.l.ScoreIterationListener - Score at iteration 212 is 0.5849608065944185
o.d.o.l.EvaluativeListener - Starting evaluation nr. 71
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.3583
Recall: 0.3958
F1 Score: 0.3667
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 3 0 1 | 1 = 1
0 1 1 1 | 2 = 2
1 0 1 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 213 is 0.5647021589728219
o.d.o.l.ScoreIterationListener - Score at iteration 214 is 0.5371820426268775
o.d.o.l.ScoreIterationListener - Score at iteration 215 is 0.5236747511564479
o.d.o.l.EvaluativeListener - Starting evaluation nr. 72
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4667
Recall: 0.2708
F1 Score: 0.3234
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 216 is 0.5362198385865663
o.d.o.l.ScoreIterationListener - Score at iteration 217 is 0.5083223002065848
o.d.o.l.ScoreIterationListener - Score at iteration 218 is 0.4992284216524583
o.d.o.l.EvaluativeListener - Starting evaluation nr. 73
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.5208
Recall: 0.3958
F1 Score: 0.4125
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 3 0 1 | 1 = 1
1 0 1 1 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 219 is 0.5057537603691606
o.d.o.l.ScoreIterationListener - Score at iteration 220 is 0.48784314375906046
o.d.o.l.ScoreIterationListener - Score at iteration 221 is 0.48419564463194364
o.d.o.l.EvaluativeListener - Starting evaluation nr. 74
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4667
Recall: 0.2708
F1 Score: 0.3234
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 222 is 0.4915847497304651
o.d.o.l.ScoreIterationListener - Score at iteration 223 is 0.4747664667711094
o.d.o.l.ScoreIterationListener - Score at iteration 224 is 0.47264342586830466
o.d.o.l.EvaluativeListener - Starting evaluation nr. 75
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4667
Recall: 0.2708
F1 Score: 0.3234
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 225 is 0.4783972836957034
o.d.o.l.ScoreIterationListener - Score at iteration 226 is 0.4624177214755874
o.d.o.l.ScoreIterationListener - Score at iteration 227 is 0.4619198440348765
o.d.o.l.EvaluativeListener - Starting evaluation nr. 76
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4667
Recall: 0.2708
F1 Score: 0.3234
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 228 is 0.46610848320603027
o.d.o.l.ScoreIterationListener - Score at iteration 229 is 0.45196022528588814
o.d.o.l.ScoreIterationListener - Score at iteration 230 is 0.4513944532227859
o.d.o.l.EvaluativeListener - Starting evaluation nr. 77
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4667
Recall: 0.2708
F1 Score: 0.3234
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 231 is 0.4533723507920246
o.d.o.l.ScoreIterationListener - Score at iteration 232 is 0.44187546061217947
o.d.o.l.ScoreIterationListener - Score at iteration 233 is 0.4410929384728196
o.d.o.l.EvaluativeListener - Starting evaluation nr. 78
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4667
Recall: 0.2708
F1 Score: 0.3234
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 234 is 0.44151051085479986
o.d.o.l.ScoreIterationListener - Score at iteration 235 is 0.4323898084493746
o.d.o.l.ScoreIterationListener - Score at iteration 236 is 0.4312290368874402
o.d.o.l.EvaluativeListener - Starting evaluation nr. 79
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4667
Recall: 0.2708
F1 Score: 0.3234
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 237 is 0.43066659876261676
o.d.o.l.ScoreIterationListener - Score at iteration 238 is 0.4232229302728736
o.d.o.l.ScoreIterationListener - Score at iteration 239 is 0.42176988849883223
o.d.o.l.EvaluativeListener - Starting evaluation nr. 80
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4667
Recall: 0.2708
F1 Score: 0.3234
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 240 is 0.4205723025191925
o.d.o.l.ScoreIterationListener - Score at iteration 241 is 0.414194156765155
o.d.o.l.ScoreIterationListener - Score at iteration 242 is 0.41263996622782095
o.d.o.l.EvaluativeListener - Starting evaluation nr. 81
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4667
Recall: 0.2708
F1 Score: 0.3234
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 1 1 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 243 is 0.41126954134307425
o.d.o.l.ScoreIterationListener - Score at iteration 244 is 0.405436731782727
o.d.o.l.ScoreIterationListener - Score at iteration 245 is 0.4037086869762988
o.d.o.l.EvaluativeListener - Starting evaluation nr. 82
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
0 1 1 1 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 246 is 0.40215202160253927
o.d.o.l.ScoreIterationListener - Score at iteration 247 is 0.3967689265284176
o.d.o.l.ScoreIterationListener - Score at iteration 248 is 0.3950906810299851
o.d.o.l.EvaluativeListener - Starting evaluation nr. 83
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4250
Recall: 0.2708
F1 Score: 0.3056
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
0 1 1 1 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 249 is 0.3934703469423309
o.d.o.l.ScoreIterationListener - Score at iteration 250 is 0.38837904648111493
o.d.o.l.ScoreIterationListener - Score at iteration 251 is 0.38664922216493836
o.d.o.l.EvaluativeListener - Starting evaluation nr. 84
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.4167
Recall: 0.2708
F1 Score: 0.3000
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 2 0 2 | 1 = 1
0 1 1 1 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 252 is 0.3849094812711594
o.d.o.l.ScoreIterationListener - Score at iteration 253 is 0.3801298167116067
o.d.o.l.ScoreIterationListener - Score at iteration 254 is 0.3783858652478003
o.d.o.l.EvaluativeListener - Starting evaluation nr. 85
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.3917
Recall: 0.2708
F1 Score: 0.2861
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 2 0 2 | 1 = 1
0 1 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 255 is 0.37659525874751437
o.d.o.l.ScoreIterationListener - Score at iteration 256 is 0.3720189099646714
o.d.o.l.ScoreIterationListener - Score at iteration 257 is 0.3702647465136952
o.d.o.l.EvaluativeListener - Starting evaluation nr. 86
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.3917
Recall: 0.2708
F1 Score: 0.2861
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 2 0 2 | 1 = 1
0 1 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 258 is 0.3685926157392933
o.d.o.l.ScoreIterationListener - Score at iteration 259 is 0.36419798829369937
o.d.o.l.ScoreIterationListener - Score at iteration 260 is 0.36233560455061586
o.d.o.l.EvaluativeListener - Starting evaluation nr. 87
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.3917
Recall: 0.2708
F1 Score: 0.2861
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 2 0 2 | 1 = 1
0 1 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 261 is 0.36043863316092045
o.d.o.l.ScoreIterationListener - Score at iteration 262 is 0.3563208208985438
o.d.o.l.ScoreIterationListener - Score at iteration 263 is 0.35456072844634107
o.d.o.l.EvaluativeListener - Starting evaluation nr. 88
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.3917
Recall: 0.2708
F1 Score: 0.2861
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 2 0 2 | 1 = 1
0 1 1 1 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 264 is 0.3528463756669568
o.d.o.l.ScoreIterationListener - Score at iteration 265 is 0.34882548679308173
o.d.o.l.ScoreIterationListener - Score at iteration 266 is 0.346971974338584
o.d.o.l.EvaluativeListener - Starting evaluation nr. 89
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.4000
Recall: 0.3542
F1 Score: 0.3667
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 2 0 2 | 1 = 1
0 1 2 0 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 267 is 0.3450341361608798
o.d.o.l.ScoreIterationListener - Score at iteration 268 is 0.34115978231793587
o.d.o.l.ScoreIterationListener - Score at iteration 269 is 0.3394963497567832
o.d.o.l.EvaluativeListener - Starting evaluation nr. 90
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.4125
Recall: 0.3542
F1 Score: 0.3736
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
0 1 2 0 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 270 is 0.33813207295261377
o.d.o.l.ScoreIterationListener - Score at iteration 271 is 0.3343701117555713
o.d.o.l.ScoreIterationListener - Score at iteration 272 is 0.3324385885384599
o.d.o.l.EvaluativeListener - Starting evaluation nr. 91
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.4000
Recall: 0.3542
F1 Score: 0.3667
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 2 0 2 | 1 = 1
0 1 2 0 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 273 is 0.3302840653289115
o.d.o.l.ScoreIterationListener - Score at iteration 274 is 0.32651016657715404
o.d.o.l.ScoreIterationListener - Score at iteration 275 is 0.3252615903010944
o.d.o.l.EvaluativeListener - Starting evaluation nr. 92
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.4792
Recall: 0.3542
F1 Score: 0.4054
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
1 2 0 1 | 1 = 1
1 0 2 0 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 276 is 0.32590003994356725
o.d.o.l.ScoreIterationListener - Score at iteration 277 is 0.32524028791035164
o.d.o.l.ScoreIterationListener - Score at iteration 278 is 0.3578906526271295
o.d.o.l.EvaluativeListener - Starting evaluation nr. 93
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.5370 (1 class excluded from average)
Recall: 0.4583
F1 Score: 0.5289 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [0]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 2 0 1 | 0 = 0
0 4 0 0 | 1 = 1
0 2 1 0 | 2 = 2
0 1 1 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 279 is 1.3116223724738572
o.d.o.l.ScoreIterationListener - Score at iteration 280 is 1.2299659398572063
o.d.o.l.ScoreIterationListener - Score at iteration 281 is 0.7796053420989983
o.d.o.l.EvaluativeListener - Starting evaluation nr. 94
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.3750
Recall: 0.4167
F1 Score: 0.3790
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 0 2 1 | 0 = 0
0 2 1 1 | 1 = 1
0 1 2 0 | 2 = 2
1 0 1 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 282 is 0.5893074526033246
o.d.o.l.ScoreIterationListener - Score at iteration 283 is 0.49659564101449266
o.d.o.l.ScoreIterationListener - Score at iteration 284 is 0.38536018542552286
o.d.o.l.EvaluativeListener - Starting evaluation nr. 95
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4833
Recall: 0.3958
F1 Score: 0.3917
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 3 0 1 | 1 = 1
0 1 1 1 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 285 is 0.3694052858368457
o.d.o.l.ScoreIterationListener - Score at iteration 286 is 0.34603706265719963
o.d.o.l.ScoreIterationListener - Score at iteration 287 is 0.3378353618408971
o.d.o.l.EvaluativeListener - Starting evaluation nr. 96
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4833
Recall: 0.3958
F1 Score: 0.3917
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 3 0 1 | 1 = 1
0 1 1 1 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 288 is 0.3489989039616975
o.d.o.l.ScoreIterationListener - Score at iteration 289 is 0.3256417137713592
o.d.o.l.ScoreIterationListener - Score at iteration 290 is 0.3225380866467078
o.d.o.l.EvaluativeListener - Starting evaluation nr. 97
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4833
Recall: 0.3958
F1 Score: 0.3917
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 3 0 1 | 1 = 1
0 1 1 1 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 291 is 0.33392019662460487
o.d.o.l.ScoreIterationListener - Score at iteration 292 is 0.315680216376248
o.d.o.l.ScoreIterationListener - Score at iteration 293 is 0.312988822846564
o.d.o.l.EvaluativeListener - Starting evaluation nr. 98
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4833
Recall: 0.3958
F1 Score: 0.3917
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 3 0 1 | 1 = 1
0 1 1 1 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 294 is 0.32122570053014005
o.d.o.l.ScoreIterationListener - Score at iteration 295 is 0.307903238309885
o.d.o.l.ScoreIterationListener - Score at iteration 296 is 0.3054217125996714
o.d.o.l.EvaluativeListener - Starting evaluation nr. 99
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4833
Recall: 0.3958
F1 Score: 0.3917
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 3 0 1 | 1 = 1
0 1 1 1 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 297 is 0.31084088295458123
o.d.o.l.ScoreIterationListener - Score at iteration 298 is 0.301038593770303
o.d.o.l.ScoreIterationListener - Score at iteration 299 is 0.298712090734945
o.d.o.l.EvaluativeListener - Starting evaluation nr. 100
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4833
Recall: 0.3958
F1 Score: 0.3917
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 3 0 1 | 1 = 1
0 1 1 1 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.i.r.BaseImageRecordReader - ImageRecordReader: 4 label classes inferred using label generator ParentPathLabelGenerator
o.d.o.l.ScoreIterationListener - Score at iteration 300 is 1.938748563744035
o.d.o.l.ScoreIterationListener - Score at iteration 301 is 6.552786717482421
o.d.o.l.ScoreIterationListener - Score at iteration 302 is 3.120908026534642
o.d.o.l.EvaluativeListener - Starting evaluation nr. 101
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.1111 (1 class excluded from average)
Recall: 0.2500
F1 Score: 0.1667 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 3 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 2 0 1 | 2 = 2
1 3 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 303 is 1.831941540021948
o.d.o.l.ScoreIterationListener - Score at iteration 304 is 1.76331733792273
o.d.o.l.ScoreIterationListener - Score at iteration 305 is 1.6054034158657766
o.d.o.l.EvaluativeListener - Starting evaluation nr. 102
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5714
Precision: 0.7000 (1 class excluded from average)
Recall: 0.5208
F1 Score: 0.6111 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [0]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 4 0 0 | 1 = 1
0 2 1 0 | 2 = 2
0 1 0 3 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 306 is 1.44657001125149
o.d.o.l.ScoreIterationListener - Score at iteration 307 is 1.6395213661251617
o.d.o.l.ScoreIterationListener - Score at iteration 308 is 1.8123736094236464
o.d.o.l.EvaluativeListener - Starting evaluation nr. 103
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5714
Precision: 0.6905 (1 class excluded from average)
Recall: 0.5833
F1 Score: 0.6313 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
3 0 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 2 1 0 | 2 = 2
3 1 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 309 is 1.5819218188486164
o.d.o.l.ScoreIterationListener - Score at iteration 310 is 1.6705588821432036
o.d.o.l.ScoreIterationListener - Score at iteration 311 is 1.4542481837447656
o.d.o.l.EvaluativeListener - Starting evaluation nr. 104
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.7250
Recall: 0.4792
F1 Score: 0.4679
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 2 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 2 1 0 | 2 = 2
1 2 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 312 is 1.5258953014495538
o.d.o.l.ScoreIterationListener - Score at iteration 313 is 1.4827542764080988
o.d.o.l.ScoreIterationListener - Score at iteration 314 is 1.5761841069303097
o.d.o.l.EvaluativeListener - Starting evaluation nr. 105
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.7143
Precision: 0.7417
Recall: 0.6667
F1 Score: 0.6472
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 0 1 1 | 0 = 0
0 4 0 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 0 4 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 315 is 1.3514632538845612
o.d.o.l.ScoreIterationListener - Score at iteration 316 is 1.2982988200256482
o.d.o.l.ScoreIterationListener - Score at iteration 317 is 1.5460021677869802
o.d.o.l.EvaluativeListener - Starting evaluation nr. 106
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.5000 (1 class excluded from average)
Recall: 0.4167
F1 Score: 0.4823 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [0]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 0 2 1 | 0 = 0
0 3 1 0 | 1 = 1
0 1 2 0 | 2 = 2
0 0 3 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 318 is 1.3376848648603406
o.d.o.l.ScoreIterationListener - Score at iteration 319 is 1.2689743968333813
o.d.o.l.ScoreIterationListener - Score at iteration 320 is 1.5457206843074214
o.d.o.l.EvaluativeListener - Starting evaluation nr. 107
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.6429
Precision: 0.7917
Recall: 0.6250
F1 Score: 0.6250
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 2 1 0 | 2 = 2
1 1 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 321 is 1.2269972343918398
o.d.o.l.ScoreIterationListener - Score at iteration 322 is 1.273237674560461
o.d.o.l.ScoreIterationListener - Score at iteration 323 is 1.606251510613768
o.d.o.l.EvaluativeListener - Starting evaluation nr. 108
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.8571
Precision: 0.9167
Recall: 0.8333
F1 Score: 0.8500
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 1 2 0 | 2 = 2
0 0 0 4 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 324 is 1.6518277536408592
o.d.o.l.ScoreIterationListener - Score at iteration 325 is 1.2876606854495625
o.d.o.l.ScoreIterationListener - Score at iteration 326 is 1.257045838550341
o.d.o.l.EvaluativeListener - Starting evaluation nr. 109
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5714
Precision: 0.6984 (1 class excluded from average)
Recall: 0.5833
F1 Score: 0.6333 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
3 0 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 2 1 0 | 2 = 2
4 0 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 327 is 1.212935773848065
o.d.o.l.ScoreIterationListener - Score at iteration 328 is 1.2306757239103185
o.d.o.l.ScoreIterationListener - Score at iteration 329 is 1.32639556250412
o.d.o.l.EvaluativeListener - Starting evaluation nr. 110
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.6429
Precision: 0.7667
Recall: 0.6458
F1 Score: 0.6250
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 1 2 0 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 330 is 1.0516871391745468
o.d.o.l.ScoreIterationListener - Score at iteration 331 is 1.2676747339056673
o.d.o.l.ScoreIterationListener - Score at iteration 332 is 1.6968453798050627
o.d.o.l.EvaluativeListener - Starting evaluation nr. 111
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.6944 (1 class excluded from average)
Recall: 0.5208
F1 Score: 0.5833 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
3 0 0 0 | 0 = 0
1 3 0 0 | 1 = 1
1 1 1 0 | 2 = 2
4 0 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 333 is 1.2383206418587442
o.d.o.l.ScoreIterationListener - Score at iteration 334 is 1.412572366592046
o.d.o.l.ScoreIterationListener - Score at iteration 335 is 1.4660087884789819
o.d.o.l.EvaluativeListener - Starting evaluation nr. 112
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5714
Precision: 0.5794 (1 class excluded from average)
Recall: 0.5417
F1 Score: 0.6234 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 2 0 1 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 336 is 1.1861896969552017
o.d.o.l.ScoreIterationListener - Score at iteration 337 is 1.007834802694334
o.d.o.l.ScoreIterationListener - Score at iteration 338 is 1.5464278801131548
o.d.o.l.EvaluativeListener - Starting evaluation nr. 113
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5714
Precision: 0.5833 (1 class excluded from average)
Recall: 0.5417
F1 Score: 0.6389 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [0]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 0 1 2 | 0 = 0
0 3 1 0 | 1 = 1
0 1 2 0 | 2 = 2
0 0 1 3 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 339 is 1.3385976674857472
o.d.o.l.ScoreIterationListener - Score at iteration 340 is 1.5873844738166318
o.d.o.l.ScoreIterationListener - Score at iteration 341 is 1.2068372310508104
o.d.o.l.EvaluativeListener - Starting evaluation nr. 114
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.6167
Recall: 0.4792
F1 Score: 0.4970
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 0 1 1 | 0 = 0
0 3 1 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 342 is 1.1817972675651487
o.d.o.l.ScoreIterationListener - Score at iteration 343 is 1.2570252534507411
o.d.o.l.ScoreIterationListener - Score at iteration 344 is 1.2910482903193332
o.d.o.l.EvaluativeListener - Starting evaluation nr. 115
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.4683 (1 class excluded from average)
Recall: 0.4583
F1 Score: 0.5202 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
0 4 0 0 | 1 = 1
0 2 0 1 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 345 is 1.4659098475228447
o.d.o.l.ScoreIterationListener - Score at iteration 346 is 1.276505998086484
o.d.o.l.ScoreIterationListener - Score at iteration 347 is 1.1561904990614378
o.d.o.l.EvaluativeListener - Starting evaluation nr. 116
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.3542
Recall: 0.3542
F1 Score: 0.3542
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
1 1 1 1 | 1 = 1
0 2 1 0 | 2 = 2
1 0 1 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 348 is 1.2007081935195638
o.d.o.l.ScoreIterationListener - Score at iteration 349 is 1.1953541642009402
o.d.o.l.ScoreIterationListener - Score at iteration 350 is 1.313395387209364
o.d.o.l.EvaluativeListener - Starting evaluation nr. 117
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.6556 (1 class excluded from average)
Recall: 0.4375
F1 Score: 0.4777 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [0]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 0 2 1 | 0 = 0
0 1 3 0 | 1 = 1
0 0 3 0 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 351 is 1.2533569081596518
o.d.o.l.ScoreIterationListener - Score at iteration 352 is 1.2542488497956226
o.d.o.l.ScoreIterationListener - Score at iteration 353 is 1.3635780386123022
o.d.o.l.EvaluativeListener - Starting evaluation nr. 118
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4333
Recall: 0.4167
F1 Score: 0.4194
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
1 2 0 1 | 1 = 1
0 2 1 0 | 2 = 2
1 0 1 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 354 is 1.2324974770463921
o.d.o.l.ScoreIterationListener - Score at iteration 355 is 0.9302338828449992
o.d.o.l.ScoreIterationListener - Score at iteration 356 is 1.3089878461336404
o.d.o.l.EvaluativeListener - Starting evaluation nr. 119
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.3333
Recall: 0.3542
F1 Score: 0.3333
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
1 0 1 2 | 1 = 1
0 2 1 0 | 2 = 2
1 0 0 3 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 357 is 1.3317926485563854
o.d.o.l.ScoreIterationListener - Score at iteration 358 is 1.3729140199779748
o.d.o.l.ScoreIterationListener - Score at iteration 359 is 1.037871147703382
o.d.o.l.EvaluativeListener - Starting evaluation nr. 120
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.3889 (1 class excluded from average)
Recall: 0.3958
F1 Score: 0.3889 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
3 0 0 0 | 0 = 0
2 1 1 0 | 1 = 1
1 1 1 0 | 2 = 2
3 0 1 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 360 is 1.144126022046291
o.d.o.l.ScoreIterationListener - Score at iteration 361 is 1.1293296284869347
o.d.o.l.ScoreIterationListener - Score at iteration 362 is 1.3189080780837141
o.d.o.l.EvaluativeListener - Starting evaluation nr. 121
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4167 (1 class excluded from average)
Recall: 0.4375
F1 Score: 0.4857 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 3 1 0 | 1 = 1
0 2 1 0 | 2 = 2
2 0 2 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 363 is 1.0682702866892444
o.d.o.l.ScoreIterationListener - Score at iteration 364 is 0.9410689506564334
o.d.o.l.ScoreIterationListener - Score at iteration 365 is 1.4617341450916668
o.d.o.l.EvaluativeListener - Starting evaluation nr. 122
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.5208
Recall: 0.3542
F1 Score: 0.3859
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
0 1 3 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 366 is 1.1325714914757163
o.d.o.l.ScoreIterationListener - Score at iteration 367 is 1.242757278527027
o.d.o.l.ScoreIterationListener - Score at iteration 368 is 1.1059234193276035
o.d.o.l.EvaluativeListener - Starting evaluation nr. 123
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.3056 (1 class excluded from average)
Recall: 0.3125
F1 Score: 0.3479 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 1 3 0 | 1 = 1
0 2 1 0 | 2 = 2
2 0 2 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 369 is 1.0787019564462754
o.d.o.l.ScoreIterationListener - Score at iteration 370 is 1.0773416390323776
o.d.o.l.ScoreIterationListener - Score at iteration 371 is 0.9406698314679752
o.d.o.l.EvaluativeListener - Starting evaluation nr. 124
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.2875
Recall: 0.3750
F1 Score: 0.3254
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 2 1 1 | 1 = 1
0 2 1 0 | 2 = 2
2 0 2 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 372 is 0.8369449303223837
o.d.o.l.ScoreIterationListener - Score at iteration 373 is 0.859393763611721
o.d.o.l.ScoreIterationListener - Score at iteration 374 is 1.0517781065242917
o.d.o.l.EvaluativeListener - Starting evaluation nr. 125
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.5909 (1 class excluded from average)
Recall: 0.3958
F1 Score: 0.4095 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
1 0 2 0 | 0 = 0
0 1 3 0 | 1 = 1
0 0 3 0 | 2 = 2
1 0 3 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 375 is 1.3410646891380262
o.d.o.l.ScoreIterationListener - Score at iteration 376 is 2.1432867070181185
o.d.o.l.ScoreIterationListener - Score at iteration 377 is 1.7597294369691334
o.d.o.l.EvaluativeListener - Starting evaluation nr. 126
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.5952 (1 class excluded from average)
Recall: 0.4375
F1 Score: 0.5000 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 3 0 0 | 1 = 1
0 2 1 0 | 2 = 2
4 0 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 378 is 1.0127466280260937
o.d.o.l.ScoreIterationListener - Score at iteration 379 is 1.1726257209510726
o.d.o.l.ScoreIterationListener - Score at iteration 380 is 1.261144890037666
o.d.o.l.EvaluativeListener - Starting evaluation nr. 127
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4375
Recall: 0.4375
F1 Score: 0.4345
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 2 1 1 | 1 = 1
0 1 1 1 | 2 = 2
1 0 2 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 381 is 0.9954140051388009
o.d.o.l.ScoreIterationListener - Score at iteration 382 is 0.9722103921703742
o.d.o.l.ScoreIterationListener - Score at iteration 383 is 1.1616510152903359
o.d.o.l.EvaluativeListener - Starting evaluation nr. 128
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.7143
Precision: 0.7905 (1 class excluded from average)
Recall: 0.6667
F1 Score: 0.8054 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 2 0 1 | 2 = 2
0 0 0 4 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 384 is 1.029549711315838
o.d.o.l.ScoreIterationListener - Score at iteration 385 is 1.4003153301751958
o.d.o.l.ScoreIterationListener - Score at iteration 386 is 1.017264254418847
o.d.o.l.EvaluativeListener - Starting evaluation nr. 129
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4542
Recall: 0.4167
F1 Score: 0.4254
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 1 0 | 0 = 0
1 2 0 1 | 1 = 1
0 2 1 0 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 387 is 1.1628674712830738
o.d.o.l.ScoreIterationListener - Score at iteration 388 is 1.0415342059300983
o.d.o.l.ScoreIterationListener - Score at iteration 389 is 1.187393769048231
o.d.o.l.EvaluativeListener - Starting evaluation nr. 130
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4375
Recall: 0.4375
F1 Score: 0.4345
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 1 1 1 | 1 = 1
0 1 1 1 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 390 is 0.8823198818374562
o.d.o.l.ScoreIterationListener - Score at iteration 391 is 0.9749215840370131
o.d.o.l.ScoreIterationListener - Score at iteration 392 is 0.9686821241499222
o.d.o.l.EvaluativeListener - Starting evaluation nr. 131
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5714
Precision: 0.6250
Recall: 0.5625
F1 Score: 0.5667
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 3 0 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 393 is 0.9969769169587483
o.d.o.l.ScoreIterationListener - Score at iteration 394 is 1.0712812331124395
o.d.o.l.ScoreIterationListener - Score at iteration 395 is 1.35349599942483
o.d.o.l.EvaluativeListener - Starting evaluation nr. 132
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.5873 (1 class excluded from average)
Recall: 0.4375
F1 Score: 0.4966 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 3 0 0 | 1 = 1
0 2 1 0 | 2 = 2
3 1 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 396 is 1.061899877561233
o.d.o.l.ScoreIterationListener - Score at iteration 397 is 1.2712756309827553
o.d.o.l.ScoreIterationListener - Score at iteration 398 is 1.256550795017388
o.d.o.l.EvaluativeListener - Starting evaluation nr. 133
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.7071
Recall: 0.5000
F1 Score: 0.4864
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 3 0 0 | 1 = 1
0 2 1 0 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 399 is 0.9481520289801104
o.d.o.l.ScoreIterationListener - Score at iteration 400 is 1.0507453628663728
o.d.o.l.ScoreIterationListener - Score at iteration 401 is 0.9093402728499522
o.d.o.l.EvaluativeListener - Starting evaluation nr. 134
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4542
Recall: 0.4375
F1 Score: 0.4325
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 2 0 1 | 1 = 1
0 2 1 0 | 2 = 2
0 0 3 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 402 is 1.0603010476927257
o.d.o.l.ScoreIterationListener - Score at iteration 403 is 0.9717289514664397
o.d.o.l.ScoreIterationListener - Score at iteration 404 is 1.2408199017943673
o.d.o.l.EvaluativeListener - Starting evaluation nr. 135
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.4697 (2 classes excluded from average)
Recall: 0.3750
F1 Score: 0.5000 (2 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 2 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [2, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
3 0 0 0 | 0 = 0
2 2 0 0 | 1 = 1
2 1 0 0 | 2 = 2
4 0 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 405 is 1.1776945080014056
o.d.o.l.ScoreIterationListener - Score at iteration 406 is 1.2974205721171541
o.d.o.l.ScoreIterationListener - Score at iteration 407 is 0.9899221625721069
o.d.o.l.EvaluativeListener - Starting evaluation nr. 136
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5714
Precision: 0.6250
Recall: 0.5625
F1 Score: 0.5667
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 3 0 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 408 is 0.923810386001974
o.d.o.l.ScoreIterationListener - Score at iteration 409 is 0.8788355956744096
o.d.o.l.ScoreIterationListener - Score at iteration 410 is 0.8468188342444778
o.d.o.l.EvaluativeListener - Starting evaluation nr. 137
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.6000
Recall: 0.5000
F1 Score: 0.4750
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 3 0 0 | 1 = 1
0 2 1 0 | 2 = 2
2 0 1 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 411 is 0.7608446882941118
o.d.o.l.ScoreIterationListener - Score at iteration 412 is 1.0841691312089776
o.d.o.l.ScoreIterationListener - Score at iteration 413 is 1.033158071384194
o.d.o.l.EvaluativeListener - Starting evaluation nr. 138
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5714
Precision: 0.6875
Recall: 0.5417
F1 Score: 0.5607
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 1 0 | 0 = 0
0 3 1 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 1 3 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 414 is 0.6493843746910435
o.d.o.l.ScoreIterationListener - Score at iteration 415 is 0.9774870458397074
o.d.o.l.ScoreIterationListener - Score at iteration 416 is 1.1005445537157637
o.d.o.l.EvaluativeListener - Starting evaluation nr. 139
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.3476 (1 class excluded from average)
Recall: 0.2708
F1 Score: 0.3259 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [0]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 0 2 1 | 0 = 0
0 1 2 1 | 1 = 1
0 1 1 1 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 417 is 1.1871046953460116
o.d.o.l.ScoreIterationListener - Score at iteration 418 is 1.785095613924427
o.d.o.l.ScoreIterationListener - Score at iteration 419 is 1.4751561940498397
o.d.o.l.EvaluativeListener - Starting evaluation nr. 140
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.6000
Recall: 0.3958
F1 Score: 0.3679
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 3 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 2 1 0 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 420 is 1.298680793224149
o.d.o.l.ScoreIterationListener - Score at iteration 421 is 1.0611865792892545
o.d.o.l.ScoreIterationListener - Score at iteration 422 is 1.0901779987788147
o.d.o.l.EvaluativeListener - Starting evaluation nr. 141
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4444 (1 class excluded from average)
Recall: 0.4167
F1 Score: 0.4815 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 2 0 1 | 1 = 1
1 1 0 1 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 423 is 0.7962699552669199
o.d.o.l.ScoreIterationListener - Score at iteration 424 is 0.891973283198172
o.d.o.l.ScoreIterationListener - Score at iteration 425 is 1.0125473828869844
o.d.o.l.EvaluativeListener - Starting evaluation nr. 142
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4619 (1 class excluded from average)
Recall: 0.4167
F1 Score: 0.4667 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 3 0 0 | 1 = 1
1 1 0 1 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 426 is 1.0958153338930658
o.d.o.l.ScoreIterationListener - Score at iteration 427 is 0.9797609250275316
o.d.o.l.ScoreIterationListener - Score at iteration 428 is 0.7157053510398075
o.d.o.l.EvaluativeListener - Starting evaluation nr. 143
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.4167 (1 class excluded from average)
Recall: 0.3542
F1 Score: 0.3990 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
2 2 0 0 | 1 = 1
1 1 0 1 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 429 is 0.9712620741441171
o.d.o.l.ScoreIterationListener - Score at iteration 430 is 0.9316856100029487
o.d.o.l.ScoreIterationListener - Score at iteration 431 is 1.3889070281361104
o.d.o.l.EvaluativeListener - Starting evaluation nr. 144
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.5909 (1 class excluded from average)
Recall: 0.3750
F1 Score: 0.3873 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [0]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 0 2 1 | 0 = 0
0 1 3 0 | 1 = 1
0 0 3 0 | 2 = 2
0 0 3 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 432 is 1.2390392676277748
o.d.o.l.ScoreIterationListener - Score at iteration 433 is 1.2289831636601583
o.d.o.l.ScoreIterationListener - Score at iteration 434 is 0.7179569737732943
o.d.o.l.EvaluativeListener - Starting evaluation nr. 145
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4167 (1 class excluded from average)
Recall: 0.3958
F1 Score: 0.4656 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
1 3 0 0 | 1 = 1
0 1 0 2 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 435 is 0.9494115259196297
o.d.o.l.ScoreIterationListener - Score at iteration 436 is 0.8751042023069495
o.d.o.l.ScoreIterationListener - Score at iteration 437 is 0.8302266365536427
o.d.o.l.EvaluativeListener - Starting evaluation nr. 146
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.4778 (1 class excluded from average)
Recall: 0.4583
F1 Score: 0.5333 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
1 3 0 0 | 1 = 1
0 2 0 1 | 2 = 2
1 0 0 3 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 438 is 0.8284651109387194
o.d.o.l.ScoreIterationListener - Score at iteration 439 is 0.9567505632767013
o.d.o.l.ScoreIterationListener - Score at iteration 440 is 1.140759126018192
o.d.o.l.EvaluativeListener - Starting evaluation nr. 147
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.3750 (2 classes excluded from average)
Recall: 0.3542
F1 Score: 0.4818 (2 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 2 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [2, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 3 0 0 | 1 = 1
1 2 0 0 | 2 = 2
4 0 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 441 is 0.7186153466884281
o.d.o.l.ScoreIterationListener - Score at iteration 442 is 1.1966246185369127
o.d.o.l.ScoreIterationListener - Score at iteration 443 is 1.334157678901517
o.d.o.l.EvaluativeListener - Starting evaluation nr. 148
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.3750
Recall: 0.4167
F1 Score: 0.3790
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 1 1 | 0 = 0
0 2 2 0 | 1 = 1
0 1 2 0 | 2 = 2
1 0 1 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 444 is 0.9414813742336818
o.d.o.l.ScoreIterationListener - Score at iteration 445 is 0.9171404187045298
o.d.o.l.ScoreIterationListener - Score at iteration 446 is 0.9627359928417482
o.d.o.l.EvaluativeListener - Starting evaluation nr. 149
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4583
Recall: 0.4375
F1 Score: 0.4435
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 1 2 1 | 1 = 1
0 2 1 0 | 2 = 2
1 0 1 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 447 is 1.2515130072869574
o.d.o.l.ScoreIterationListener - Score at iteration 448 is 0.9516577357759533
o.d.o.l.ScoreIterationListener - Score at iteration 449 is 1.1651269309184609
o.d.o.l.EvaluativeListener - Starting evaluation nr. 150
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.5000
Recall: 0.4792
F1 Score: 0.4778
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
1 2 0 1 | 1 = 1
0 2 1 0 | 2 = 2
0 0 1 3 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 450 is 1.2732632661780727
o.d.o.l.ScoreIterationListener - Score at iteration 451 is 1.6625026183486011
o.d.o.l.ScoreIterationListener - Score at iteration 452 is 1.4145206915355515
o.d.o.l.EvaluativeListener - Starting evaluation nr. 151
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.4000 (1 class excluded from average)
Recall: 0.3333
F1 Score: 0.4071 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
1 2 0 1 | 1 = 1
1 0 0 2 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 453 is 0.966843389278292
o.d.o.l.ScoreIterationListener - Score at iteration 454 is 1.1384930671690663
o.d.o.l.ScoreIterationListener - Score at iteration 455 is 1.2633615336312811
o.d.o.l.EvaluativeListener - Starting evaluation nr. 152
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.7083
Recall: 0.5000
F1 Score: 0.4861
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 3 0 0 | 1 = 1
0 2 1 0 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 456 is 0.9084202036990219
o.d.o.l.ScoreIterationListener - Score at iteration 457 is 1.4242921531103534
o.d.o.l.ScoreIterationListener - Score at iteration 458 is 1.4389996605850093
o.d.o.l.EvaluativeListener - Starting evaluation nr. 153
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.4583
Recall: 0.4792
F1 Score: 0.4381
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 0 1 0 | 0 = 0
0 1 0 3 | 1 = 1
0 2 0 1 | 2 = 2
0 0 0 4 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 459 is 0.810195829034118
o.d.o.l.ScoreIterationListener - Score at iteration 460 is 0.9814629424365157
o.d.o.l.ScoreIterationListener - Score at iteration 461 is 0.8607474710872947
o.d.o.l.EvaluativeListener - Starting evaluation nr. 154
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.3254 (1 class excluded from average)
Recall: 0.3125
F1 Score: 0.3524 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 0 1 0 | 0 = 0
1 1 2 0 | 1 = 1
0 2 1 0 | 2 = 2
1 0 3 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 462 is 0.9877784601177579
o.d.o.l.ScoreIterationListener - Score at iteration 463 is 0.9605544497910735
o.d.o.l.ScoreIterationListener - Score at iteration 464 is 1.215622563004084
o.d.o.l.EvaluativeListener - Starting evaluation nr. 155
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.4167
Recall: 0.4792
F1 Score: 0.4345
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 0 1 0 | 0 = 0
1 2 0 1 | 1 = 1
1 1 0 1 | 2 = 2
1 0 0 3 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 465 is 1.139858796993509
o.d.o.l.ScoreIterationListener - Score at iteration 466 is 0.9033013965385415
o.d.o.l.ScoreIterationListener - Score at iteration 467 is 0.932952111271179
o.d.o.l.EvaluativeListener - Starting evaluation nr. 156
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.6111 (1 class excluded from average)
Recall: 0.4792
F1 Score: 0.5704 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 3 0 0 | 1 = 1
1 2 0 0 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 468 is 1.0489981227212963
o.d.o.l.ScoreIterationListener - Score at iteration 469 is 1.226067724221188
o.d.o.l.ScoreIterationListener - Score at iteration 470 is 1.194717917672025
o.d.o.l.EvaluativeListener - Starting evaluation nr. 157
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.5583
Recall: 0.4375
F1 Score: 0.4222
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 2 1 0 | 1 = 1
0 2 1 0 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 471 is 0.7104317890530101
o.d.o.l.ScoreIterationListener - Score at iteration 472 is 0.9029000058871542
o.d.o.l.ScoreIterationListener - Score at iteration 473 is 0.9138871153981762
o.d.o.l.EvaluativeListener - Starting evaluation nr. 158
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.5750
Recall: 0.5000
F1 Score: 0.5028
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 2 1 0 | 1 = 1
0 2 1 0 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 474 is 0.7109431460832663
o.d.o.l.ScoreIterationListener - Score at iteration 475 is 0.8340409545852583
o.d.o.l.ScoreIterationListener - Score at iteration 476 is 1.2663837815751935
o.d.o.l.EvaluativeListener - Starting evaluation nr. 159
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.3485 (2 classes excluded from average)
Recall: 0.3125
F1 Score: 0.4095 (2 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 2 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [0, 2]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 1 0 3 | 1 = 1
0 1 0 2 | 2 = 2
0 0 0 4 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 477 is 0.8624702413501286
o.d.o.l.ScoreIterationListener - Score at iteration 478 is 1.0459412708099702
o.d.o.l.ScoreIterationListener - Score at iteration 479 is 0.7585228220810726
o.d.o.l.EvaluativeListener - Starting evaluation nr. 160
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.7071
Recall: 0.5000
F1 Score: 0.4864
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 3 0 0 | 1 = 1
0 2 1 0 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 480 is 0.9697008237355504
o.d.o.l.ScoreIterationListener - Score at iteration 481 is 1.397249987787464
o.d.o.l.ScoreIterationListener - Score at iteration 482 is 1.1165161290803176
o.d.o.l.EvaluativeListener - Starting evaluation nr. 161
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.4500
Recall: 0.3750
F1 Score: 0.2987
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
3 0 0 0 | 0 = 0
2 1 1 0 | 1 = 1
2 1 0 0 | 2 = 2
3 0 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 483 is 1.2822119960485614
o.d.o.l.ScoreIterationListener - Score at iteration 484 is 0.834380011427448
o.d.o.l.ScoreIterationListener - Score at iteration 485 is 1.0248750594896647
o.d.o.l.EvaluativeListener - Starting evaluation nr. 162
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.5792
Recall: 0.5000
F1 Score: 0.5159
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 2 1 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 486 is 0.655847796710463
o.d.o.l.ScoreIterationListener - Score at iteration 487 is 1.25705208906828
o.d.o.l.ScoreIterationListener - Score at iteration 488 is 1.341332250376918
o.d.o.l.EvaluativeListener - Starting evaluation nr. 163
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.5792
Recall: 0.5000
F1 Score: 0.5159
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 2 1 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 489 is 1.0626725981661582
o.d.o.l.ScoreIterationListener - Score at iteration 490 is 0.9868868282792631
o.d.o.l.ScoreIterationListener - Score at iteration 491 is 0.8752332361481941
o.d.o.l.EvaluativeListener - Starting evaluation nr. 164
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.6429
Precision: 0.6667
Recall: 0.6250
F1 Score: 0.6310
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 3 0 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 1 3 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 492 is 0.9938951352483021
o.d.o.l.ScoreIterationListener - Score at iteration 493 is 1.0050167751533479
o.d.o.l.ScoreIterationListener - Score at iteration 494 is 1.1184026306930286
o.d.o.l.EvaluativeListener - Starting evaluation nr. 165
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.6389
Recall: 0.3750
F1 Score: 0.3667
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 0 2 0 | 0 = 0
1 1 2 0 | 1 = 1
1 0 2 0 | 2 = 2
0 0 3 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 495 is 1.143102213582993
o.d.o.l.ScoreIterationListener - Score at iteration 496 is 1.1412568816437743
o.d.o.l.ScoreIterationListener - Score at iteration 497 is 1.0783276848757697
o.d.o.l.EvaluativeListener - Starting evaluation nr. 166
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.2167 (1 class excluded from average)
Recall: 0.2917
F1 Score: 0.2694 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 2 1 0 | 1 = 1
1 2 0 0 | 2 = 2
4 0 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 498 is 0.9680017111875793
o.d.o.l.ScoreIterationListener - Score at iteration 499 is 0.9314295831410533
o.d.o.l.ScoreIterationListener - Score at iteration 500 is 0.8872508241810828
o.d.o.l.EvaluativeListener - Starting evaluation nr. 167
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.6429
Precision: 0.7460 (1 class excluded from average)
Recall: 0.5833
F1 Score: 0.6758 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
0 4 0 0 | 1 = 1
0 2 0 1 | 2 = 2
0 0 0 4 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 501 is 0.9660732217840962
o.d.o.l.ScoreIterationListener - Score at iteration 502 is 0.8496323200315925
o.d.o.l.ScoreIterationListener - Score at iteration 503 is 1.0244639819839982
o.d.o.l.EvaluativeListener - Starting evaluation nr. 168
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4500
Recall: 0.4167
F1 Score: 0.4028
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 2 2 0 | 1 = 1
1 2 0 0 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 504 is 1.2381556504992228
o.d.o.l.ScoreIterationListener - Score at iteration 505 is 0.7632352138816719
o.d.o.l.ScoreIterationListener - Score at iteration 506 is 0.8849883634734529
o.d.o.l.EvaluativeListener - Starting evaluation nr. 169
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.6964
Recall: 0.5208
F1 Score: 0.5250
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 2 2 0 | 1 = 1
0 1 2 0 | 2 = 2
0 0 3 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 507 is 0.8648771307239458
o.d.o.l.ScoreIterationListener - Score at iteration 508 is 0.6826677844364771
o.d.o.l.ScoreIterationListener - Score at iteration 509 is 1.1183320737725304
o.d.o.l.EvaluativeListener - Starting evaluation nr. 170
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.5667
Recall: 0.4167
F1 Score: 0.4415
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
0 2 2 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 510 is 0.7243465623882425
o.d.o.l.ScoreIterationListener - Score at iteration 511 is 0.8627491254632653
o.d.o.l.ScoreIterationListener - Score at iteration 512 is 0.8208334260331771
o.d.o.l.EvaluativeListener - Starting evaluation nr. 171
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.3667 (1 class excluded from average)
Recall: 0.3750
F1 Score: 0.4220 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 2 2 0 | 1 = 1
0 2 1 0 | 2 = 2
2 0 2 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 513 is 0.7731863748575633
o.d.o.l.ScoreIterationListener - Score at iteration 514 is 1.3653317480983187
o.d.o.l.ScoreIterationListener - Score at iteration 515 is 1.866782684870253
o.d.o.l.EvaluativeListener - Starting evaluation nr. 172
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.6154 (2 classes excluded from average)
Recall: 0.3333
F1 Score: 0.4375 (2 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 2 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [1, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
1 0 2 0 | 0 = 0
0 0 4 0 | 1 = 1
0 0 3 0 | 2 = 2
0 0 4 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 516 is 1.4579684361850054
o.d.o.l.ScoreIterationListener - Score at iteration 517 is 1.2690547316672895
o.d.o.l.ScoreIterationListener - Score at iteration 518 is 1.0773132669651133
o.d.o.l.EvaluativeListener - Starting evaluation nr. 173
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.6429
Precision: 0.5804
Recall: 0.6042
F1 Score: 0.5693
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 2 0 1 | 2 = 2
0 0 1 3 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 519 is 1.1165830323846502
o.d.o.l.ScoreIterationListener - Score at iteration 520 is 0.7327092766412058
o.d.o.l.ScoreIterationListener - Score at iteration 521 is 0.9800839959073525
o.d.o.l.EvaluativeListener - Starting evaluation nr. 174
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.6111 (1 class excluded from average)
Recall: 0.4792
F1 Score: 0.5704 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 3 0 0 | 1 = 1
1 2 0 0 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 522 is 0.8875246539738517
o.d.o.l.ScoreIterationListener - Score at iteration 523 is 0.9857176544795809
o.d.o.l.ScoreIterationListener - Score at iteration 524 is 1.1140636431337014
o.d.o.l.EvaluativeListener - Starting evaluation nr. 175
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.6190
Recall: 0.4375
F1 Score: 0.4881
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 0 1 0 | 0 = 0
0 1 3 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 525 is 0.6704522971641156
o.d.o.l.ScoreIterationListener - Score at iteration 526 is 0.7640744859866365
o.d.o.l.ScoreIterationListener - Score at iteration 527 is 1.0221430477268094
o.d.o.l.EvaluativeListener - Starting evaluation nr. 176
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5714
Precision: 0.6905 (1 class excluded from average)
Recall: 0.5208
F1 Score: 0.6091 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
0 3 0 1 | 1 = 1
0 2 0 1 | 2 = 2
0 0 0 4 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 528 is 0.9062072982029623
o.d.o.l.ScoreIterationListener - Score at iteration 529 is 1.1281023444364848
o.d.o.l.ScoreIterationListener - Score at iteration 530 is 1.0282695934253687
o.d.o.l.EvaluativeListener - Starting evaluation nr. 177
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5714
Precision: 0.6875
Recall: 0.5625
F1 Score: 0.5881
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 3 1 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 531 is 0.9239816969850162
o.d.o.l.ScoreIterationListener - Score at iteration 532 is 0.9445421095485962
o.d.o.l.ScoreIterationListener - Score at iteration 533 is 1.1340644298366076
o.d.o.l.EvaluativeListener - Starting evaluation nr. 178
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.6429
Precision: 0.7262
Recall: 0.6250
F1 Score: 0.6318
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 534 is 0.9364447766180439
o.d.o.l.ScoreIterationListener - Score at iteration 535 is 1.0531391058739157
o.d.o.l.ScoreIterationListener - Score at iteration 536 is 0.8007825402619719
o.d.o.l.EvaluativeListener - Starting evaluation nr. 179
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.5208
Recall: 0.5000
F1 Score: 0.5060
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 2 1 0 | 1 = 1
0 1 1 1 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 537 is 0.9455775900200412
o.d.o.l.ScoreIterationListener - Score at iteration 538 is 0.5649462979318569
o.d.o.l.ScoreIterationListener - Score at iteration 539 is 1.3558717810127632
o.d.o.l.EvaluativeListener - Starting evaluation nr. 180
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.6429
Precision: 0.6627 (1 class excluded from average)
Recall: 0.6042
F1 Score: 0.7146 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 2 0 1 | 2 = 2
1 0 0 3 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 540 is 0.9200281236481489
o.d.o.l.ScoreIterationListener - Score at iteration 541 is 1.2613260035515912
o.d.o.l.ScoreIterationListener - Score at iteration 542 is 0.9053011650618359
o.d.o.l.EvaluativeListener - Starting evaluation nr. 181
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.6500
Recall: 0.5000
F1 Score: 0.5403
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 2 2 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 543 is 1.0007436761407156
o.d.o.l.ScoreIterationListener - Score at iteration 544 is 0.7237567791883137
o.d.o.l.ScoreIterationListener - Score at iteration 545 is 1.1277908406637163
o.d.o.l.EvaluativeListener - Starting evaluation nr. 182
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5000
Precision: 0.5000 (1 class excluded from average)
Recall: 0.5000
F1 Score: 0.5460 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 4 0 0 | 1 = 1
0 2 1 0 | 2 = 2
2 1 1 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 546 is 0.9159632856368933
o.d.o.l.ScoreIterationListener - Score at iteration 547 is 0.9307016025541285
o.d.o.l.ScoreIterationListener - Score at iteration 548 is 1.2514643905442213
o.d.o.l.EvaluativeListener - Starting evaluation nr. 183
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.6429
Precision: 0.7054
Recall: 0.6042
F1 Score: 0.5943
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
0 4 0 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 1 3 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 549 is 0.8171552044886399
o.d.o.l.ScoreIterationListener - Score at iteration 550 is 0.7868220318040804
o.d.o.l.ScoreIterationListener - Score at iteration 551 is 0.9211182480964188
o.d.o.l.EvaluativeListener - Starting evaluation nr. 184
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5714
Precision: 0.6429
Recall: 0.5417
F1 Score: 0.5330
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
0 4 0 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 552 is 1.239070154615407
o.d.o.l.ScoreIterationListener - Score at iteration 553 is 1.1508110358351782
o.d.o.l.ScoreIterationListener - Score at iteration 554 is 1.2895070367723442
o.d.o.l.EvaluativeListener - Starting evaluation nr. 185
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.5714
Precision: 0.5429
Recall: 0.5208
F1 Score: 0.4735
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
0 4 0 0 | 1 = 1
0 2 0 1 | 2 = 2
0 0 1 3 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 555 is 0.7621222694972545
o.d.o.l.ScoreIterationListener - Score at iteration 556 is 1.1040236471539768
o.d.o.l.ScoreIterationListener - Score at iteration 557 is 1.0683555604321804
o.d.o.l.EvaluativeListener - Starting evaluation nr. 186
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.4583
Recall: 0.3542
F1 Score: 0.3361
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 0 1 0 | 0 = 0
1 2 1 0 | 1 = 1
1 2 0 0 | 2 = 2
2 0 1 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 558 is 0.8830095316796942
o.d.o.l.ScoreIterationListener - Score at iteration 559 is 1.0019023229962523
o.d.o.l.ScoreIterationListener - Score at iteration 560 is 0.9799061448426976
o.d.o.l.EvaluativeListener - Starting evaluation nr. 187
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.3750 (2 classes excluded from average)
Recall: 0.3542
F1 Score: 0.4818 (2 classes excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 2 classes were never predicted by the model and were excluded from average precision
Classes excluded from average precision: [2, 3]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 3 0 0 | 1 = 1
1 2 0 0 | 2 = 2
4 0 0 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 561 is 1.025314539927742
o.d.o.l.ScoreIterationListener - Score at iteration 562 is 0.8071462948563365
o.d.o.l.ScoreIterationListener - Score at iteration 563 is 0.8678627434167357
o.d.o.l.EvaluativeListener - Starting evaluation nr. 188
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.5083
Recall: 0.4375
F1 Score: 0.4589
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 1 2 1 | 1 = 1
0 1 1 1 | 2 = 2
0 0 2 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 564 is 0.9892145295260584
o.d.o.l.ScoreIterationListener - Score at iteration 565 is 1.1214597094628638
o.d.o.l.ScoreIterationListener - Score at iteration 566 is 1.0977521897193387
o.d.o.l.EvaluativeListener - Starting evaluation nr. 189
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.7143
Precision: 0.8429
Recall: 0.6667
F1 Score: 0.6540
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
1 1 0 1 | 0 = 0
0 4 0 0 | 1 = 1
0 2 1 0 | 2 = 2
0 0 0 4 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 567 is 1.035385630910412
o.d.o.l.ScoreIterationListener - Score at iteration 568 is 0.9545696570098302
o.d.o.l.ScoreIterationListener - Score at iteration 569 is 1.0709902116077803
o.d.o.l.EvaluativeListener - Starting evaluation nr. 190
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.2286 (1 class excluded from average)
Recall: 0.2917
F1 Score: 0.2815 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 2 1 0 | 1 = 1
1 2 0 0 | 2 = 2
3 0 1 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 570 is 1.005736861496872
o.d.o.l.ScoreIterationListener - Score at iteration 571 is 0.7970279276712996
o.d.o.l.ScoreIterationListener - Score at iteration 572 is 0.7424796843236345
o.d.o.l.EvaluativeListener - Starting evaluation nr. 191
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.3500
Recall: 0.4167
F1 Score: 0.3750
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 2 1 1 | 1 = 1
1 1 0 1 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 573 is 0.5757939818858979
o.d.o.l.ScoreIterationListener - Score at iteration 574 is 0.9507058674704008
o.d.o.l.ScoreIterationListener - Score at iteration 575 is 0.9478269270773141
o.d.o.l.EvaluativeListener - Starting evaluation nr. 192
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4333 (1 class excluded from average)
Recall: 0.4167
F1 Score: 0.4815 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 2 0 2 | 1 = 1
1 1 0 1 | 2 = 2
2 0 0 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 576 is 0.7534089007695144
o.d.o.l.ScoreIterationListener - Score at iteration 577 is 0.7410011278204953
o.d.o.l.ScoreIterationListener - Score at iteration 578 is 1.36706303000846
o.d.o.l.EvaluativeListener - Starting evaluation nr. 193
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4583 (1 class excluded from average)
Recall: 0.3958
F1 Score: 0.4667 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [0]
=========================Confusion Matrix=========================
0 1 2 3
---------
0 1 0 2 | 0 = 0
0 2 0 2 | 1 = 1
0 1 1 1 | 2 = 2
0 0 1 3 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 579 is 0.7600546485927915
o.d.o.l.ScoreIterationListener - Score at iteration 580 is 0.8408741611119623
o.d.o.l.ScoreIterationListener - Score at iteration 581 is 0.9124724952443921
o.d.o.l.EvaluativeListener - Starting evaluation nr. 194
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2857
Precision: 0.3333 (1 class excluded from average)
Recall: 0.3125
F1 Score: 0.3333 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 0 1 0 | 0 = 0
0 1 3 0 | 1 = 1
1 1 1 0 | 2 = 2
3 0 1 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 582 is 0.6351306719925897
o.d.o.l.ScoreIterationListener - Score at iteration 583 is 0.7907099170363467
o.d.o.l.ScoreIterationListener - Score at iteration 584 is 1.4664271041821517
o.d.o.l.EvaluativeListener - Starting evaluation nr. 195
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.5648 (1 class excluded from average)
Recall: 0.3958
F1 Score: 0.4337 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [2]
=========================Confusion Matrix=========================
0 1 2 3
---------
1 2 0 0 | 0 = 0
0 4 0 0 | 1 = 1
1 2 0 0 | 2 = 2
2 1 0 1 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 585 is 1.074077973700794
o.d.o.l.ScoreIterationListener - Score at iteration 586 is 0.7991102484321266
o.d.o.l.ScoreIterationListener - Score at iteration 587 is 0.7792301178460966
o.d.o.l.EvaluativeListener - Starting evaluation nr. 196
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4500
Recall: 0.4167
F1 Score: 0.4028
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
1 2 1 0 | 1 = 1
1 2 0 0 | 2 = 2
1 0 1 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 588 is 1.013602875903933
o.d.o.l.ScoreIterationListener - Score at iteration 589 is 0.6982705807524497
o.d.o.l.ScoreIterationListener - Score at iteration 590 is 1.1937752911733097
o.d.o.l.EvaluativeListener - Starting evaluation nr. 197
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.4583
Recall: 0.3542
F1 Score: 0.3810
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 0 1 0 | 0 = 0
0 1 3 0 | 1 = 1
1 2 0 0 | 2 = 2
1 0 1 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 591 is 0.9782832305839754
o.d.o.l.ScoreIterationListener - Score at iteration 592 is 0.8909624557614466
o.d.o.l.ScoreIterationListener - Score at iteration 593 is 0.8133535339863636
o.d.o.l.EvaluativeListener - Starting evaluation nr. 198
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.2143
Precision: 0.2444 (1 class excluded from average)
Recall: 0.2292
F1 Score: 0.2619 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 0 1 0 | 0 = 0
0 1 3 0 | 1 = 1
1 2 0 0 | 2 = 2
2 0 2 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 594 is 0.7457648448169558
o.d.o.l.ScoreIterationListener - Score at iteration 595 is 1.0176504711361753
o.d.o.l.ScoreIterationListener - Score at iteration 596 is 0.9882354692302089
o.d.o.l.EvaluativeListener - Starting evaluation nr. 199
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.3571
Precision: 0.3333
Recall: 0.3542
F1 Score: 0.3393
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 1 2 1 | 1 = 1
1 1 0 1 | 2 = 2
1 0 1 2 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
o.d.o.l.ScoreIterationListener - Score at iteration 597 is 0.9012514035735479
o.d.o.l.ScoreIterationListener - Score at iteration 598 is 1.2644728731906236
o.d.o.l.ScoreIterationListener - Score at iteration 599 is 1.1611813018770563
o.d.o.l.EvaluativeListener - Starting evaluation nr. 200
o.d.o.l.EvaluativeListener - Reporting evaluation results:
o.d.o.l.EvaluativeListener - Evaluation:
========================Evaluation Metrics========================
# of classes: 4
Accuracy: 0.4286
Precision: 0.4841 (1 class excluded from average)
Recall: 0.4583
F1 Score: 0.5222 (1 class excluded from average)
Precision, recall & F1: macro-averaged (equally weighted avg. of 4 classes)
Warning: 1 class was never predicted by the model and was excluded from average precision
Classes excluded from average precision: [3]
=========================Confusion Matrix=========================
0 1 2 3
---------
2 1 0 0 | 0 = 0
0 2 2 0 | 1 = 1
0 1 2 0 | 2 = 2
1 0 3 0 | 3 = 3
Confusion matrix format: Actual (rowClass) predicted as (columnClass) N times
==================================================================
For a single example that is labeled duck the model predicted duck
o.d.e.c.AnimalsClassification - ****************Example finished********************
Process finished with exit code -1
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